United States Exports: NAICS: SC: Scrap & waste data was reported at 1.787 USD bn in May 2018. This records a decrease from the previous number of 1.841 USD bn for Apr 2018. United States Exports: NAICS: SC: Scrap & waste data is updated monthly, averaging 1.516 USD bn from Jan 2000 (Median) to May 2018, with 221 observations. The data reached an all-time high of 4.076 USD bn in Aug 2011 and a record low of 341.400 USD mn in Jul 2000. United States Exports: NAICS: SC: Scrap & waste data remains active status in CEIC and is reported by US Census Bureau. The data is categorized under Global Database’s USA – Table US.JA007: Trade Statistics: Census Basis: NAICS: Exports.

United States Imports: NAICS: SC: Scrap and waste data was reported at 663.100 USD mn in May 2018. This records an increase from the previous number of 540.500 USD mn for Apr 2018. United States Imports: NAICS: SC: Scrap and waste data is updated monthly, averaging 402.000 USD mn from Jan 2000 (Median) to May 2018, with 221 observations. The data reached an all-time high of 736.100 USD mn in Dec 2012 and a record low of 95.800 USD mn in Dec 2001. United States Imports: NAICS: SC: Scrap and waste data remains active status in CEIC and is reported by US Census Bureau. The data is categorized under Global Database’s USA – Table US.JA008: Trade Statistics: Census Basis: NAICS: Imports.

Historical population as enumerated and corrected from 1790 through 2020. North Carolina was one of the 13 original States and by the time of the 1790 census had essentially its current boundaries. The Census is mandated by the United States Constitution and was first completed for 1790. The population has been counted every ten years hence, with some limitations. In 1790 census coverage included most of the State, except for areas in the west, parts of which were not enumerated until 1840. The population for 1810 includes Walton County, enumerated as part of Georgia although actually within North Carolina. Historical populations shown here reflect the population of the respective named county and not necessarily the population of the area of the county as it was defined for a particular census. County boundaries shown in maps reflect boundaries as defined in 2020. Historic boundaries for some counties may include additional geographic areas or may be smaller than the current geographic boundaries. Notes below list the county or counties with which the population of a currently defined county were enumerated historically (Current County: Population counted in). The current 100 counties have been in place since the 1920 Census, although some modifications to the county boundaries have occurred since that time. For historical county boundaries see: Atlas of Historical County Boundaries Project (newberry.org)County Notes: Note 1: Total for 1810 includes population (1,026) of Walton County, reported as a Georgia county but later determined to be situated in western North Carolina. Total for 1890 includes 2 Indians in prison, not reported by county. Note 2: Alexander: *Iredell, Burke, Wilkes. Note 3: Avery: *Caldwell, Mitchell, Watauga. Note 4: Buncombe: *Burke, Rutherford; see also note 22. Note 5: Caldwell: *Burke, Wilkes, Yancey. Note 6: Cleveland: *Rutherford, Lincoln. Note 7: Columbus: *Bladen, Brunswick. Note 8: Dare: *Tyrrell, Currituck, Hyde. Note 9: Hoke: *Cumberland, Robeson. Note 10: Jackson: *Macon, Haywood. Note 11: Lee: *Moore, Chatham. Note 12: Lenoir: *Dobbs (Greene); Craven. Note 13: McDowell: *Burke, Rutherford. Note 14: Madison: *Buncombe, Yancey. Note 15: Mitchell: *Yancey, Watauga. Note 16: Pamlico: *Craven, Beaufort. Note 17: Polk: *Rutherford, Henderson. Note 18: Swain: *Jackson, Macon. Note 19: Transylvania: *Henderson, Jackson. Note 20: Union: *Mecklenburg, Anson. Note 21: Vance: *Granville, Warren, Franklin. Note 22: Walton: Created in 1803 as a Georgia county and reported in 1810 as part of Georgia; abolished after a review of the State boundary determined that its area was located in North Carolina. By 1820 it was part of Buncombe County. Note 23: Watauga: *Ashe, Yancey, Wilkes; Burke. Note 24: Wilson: *Edgecombe, Nash, Wayne, Johnston. Note 25: Yancey: *Burke, Buncombe. Note 26: Alleghany: *Ashe. Note 27: Haywood: *Buncombe. Note 28: Henderson: *Buncombe. Note 29: Person: Caswell. Note 30: Clay: Cherokee. Note 31: Graham: Cherokee. Note 32: Harnett: Cumberland. Note 33: Macon: Haywood.

Note 34: Catawba: Lincoln. Note 35: Gaston: Lincoln. Note 36: Cabarrus: Mecklenburg.
Note 37: Stanly: Montgomery. Note 38: Pender: New Hanover. Note 39: Alamance: Orange.
Note 40: Durham: Orange, Wake. Note 41: Scotland: Richmond. Note 42: Davidson: Rowan. Note 43: Davie: Rowan.Note 44: Forsyth: Stokes. Note 45: Yadkin: Surry.
Note 46: Washington: Tyrrell.Note 47: Ashe: Wilkes. Part III. Population of Counties, Earliest Census to 1990The 1840 population of Person County, NC should be 9,790. The 1840 population of Perquimans County, NC should be 7,346.

United States Exports: FAS: sa: CPG: Vessels excluding Scrap data was reported at 1.000 USD mn in May 2018. This records an increase from the previous number of 0.000 USD mn for Apr 2018. United States Exports: FAS: sa: CPG: Vessels excluding Scrap data is updated monthly, averaging 3.000 USD mn from Dec 1993 (Median) to May 2018, with 294 observations. The data reached an all-time high of 96.000 USD mn in Oct 2014 and a record low of 0.000 USD mn in Apr 2018. United States Exports: FAS: sa: CPG: Vessels excluding Scrap data remains active status in CEIC and is reported by US Census Bureau. The data is categorized under Global Database’s USA – Table US.JA005: Trade Statistics: Census Basis: Seasonally Adjusted: Exports by End-Use Commodity.

This dataset contains information on:

· Estimated resident population (ERP) at 30 June 1996, 2001, 2006, 2013, and 2018 for total population

· ERP at 30 June 2018 by ethnic groups (European or Other (including New Zealander), Māori, Pacific, Asian, and Middle Eastern/Latin American/African) – estimates and percentage

· Sex ratio – number of males per 100 females

· ERP at 30 June 2018 by broad age groups and median age

· Geographies available are regional council areas, territorial authority and Auckland local board areas, Statistical Area 2, and urban rural.

Note: The geography corresponds to 2020 boundaries

Note: -999 indicates data are not available.

​

About the estimated resident population

The estimated resident population at 30 June in the census year is based on the census usually resident population count, with updates for:

· net census undercount (as measured by a post-enumeration survey)

· residents temporarily overseas on census night

· births, deaths and net migration between census night and 30 June

· reconciliation with demographic estimates at the youngest ages.

The estimated resident population is not directly comparable with the census usually resident population count because of these adjustments.

For more detailed information about the methods used to calculate each base population, see DataInfo+ Demographic estimates.

​

Ethnic groups

It is important to note that these ethnic groups are not mutually exclusive because people can and do identify with more than one ethnicity. People who identify with more than one ethnicity have been included in each ethnic group.

The 'Māori', 'Pacific', 'Asian' and 'Middle Eastern/Latin American/African' ethnic groups are defined in level 1 of the Ethnicity New Zealand Standard Classification 2005. The estimates for the 'European or Other (including New Zealander)' group include people who belong to the 'European' or 'Other ethnicity' groups defined in level 1 of the standard classification. If a person belongs to both the 'European' and 'Other ethnicity' groups they have only been counted once. Almost all people in the 'Other ethnicity' group belong to the 'New Zealander' sub-group.

​

Time series

This time series is irregular. Because the 2011 Census was cancelled after the Canterbury earthquake on 22 February 2011, the gap between the 2006-base and 2013-base estimated resident population is seven years. The change in data between 2006 and 2013 may be greater than in the usual five-year gap between censuses. Be careful when comparing trends.

​

Rounding

Individual figures may not sum to stated totals due to rounding.

​

More information

See Estimated resident population (2018-base): At 30 June 2018 for commentary about the 2018 ERP.

Subnational population estimates concepts – DataInfo+ provides definitions of terms used in the map.

Access more population estimates data in NZ.Stat:

Theme: Population estimates.

There were almost 700 thousand slaves in the US in 1790, which equated to approximately 18 percent of the total population, or roughly one in every six people. By 1860, the final census taken before the American Civil War, there were four million slaves in the South, compared with less than 0.5 million free African Americans in all of the US. Of the 4.4 million African Americans in the US before the war, almost four million of these people were held as slaves; meaning that for all African Americans living in the US in 1860, there was an 89 percent* chance that they lived in slavery. A brief history Trans-Atlantic slavery began in the early sixteenth century, when the Portuguese and Spanish forcefully brought captured African slaves to the New World, in order to work for them. The British Empire introduced slavery to North America on a large scale, and the economy of the British colonies there depended on slave labor, particularly regarding cotton, sugar and tobacco output. In the seventeenth and eighteenth century the number of slaves being brought to the Americas increased exponentially, and at the time of American independence it was legal in all thirteen colonies. Although slavery became increasingly prohibited in the north, the number of slaves remained high during this time as they were simply relocated or sold from the north to the south. It is also important to remember that the children of slaves were also viewed as property, and (apart from some very rare cases) were born into a life of slavery. Abolition and the American Civil War In the years that followed independence, the Northern States began gradually prohibiting slavery, and it was officially abolished there by 1805, and the importation of slave labor was prohibited nationwide from 1808 (although both still existed in practice after this). Business owners in the Southern States however depended on slave labor in order to meet the demand of their rapidly expanding industries, and the issue of slavery continued to polarize American society in the decades to come. This culminated in the election of President Abraham Lincoln in 1860, who promised to prohibit slavery in the newly acquired territories to the west, leading to the American Civil War from 1861 to 1865. Although the Confederacy (south) were victorious in much of the early stages of the war, the strength in numbers of the northern states (including many free, black men), eventually resulted in a victory for the Union (north), and the nationwide abolishment of slavery with the Thirteenth Amendment in 1865. Legacy In total, an estimated twelve to thirteen million Africans were transported to the Americas as slaves, and this does not include the high number who did not survive the journey (which was as high as 23 percent in some years). In the 150 years since the abolishment of slavery in the US, the African-American community have continuously campaigned for equal rights and opportunities that were not afforded to them along with freedom. The most prominent themes have been the Civil Rights Movement, voter suppression, mass incarceration and the relationship between the police and the African-American community has taken the spotlight in recent years.

United States Imports: Customs: sa: CPG: Vessels, Except Scrap data was reported at 0.000 USD mn in May 2018. This stayed constant from the previous number of 0.000 USD mn for Apr 2018. United States Imports: Customs: sa: CPG: Vessels, Except Scrap data is updated monthly, averaging 0.000 USD mn from Jan 1994 (Median) to May 2018, with 293 observations. The data reached an all-time high of 203.000 USD mn in Sep 1994 and a record low of 0.000 USD mn in May 2018. United States Imports: Customs: sa: CPG: Vessels, Except Scrap data remains active status in CEIC and is reported by US Census Bureau. The data is categorized under Global Database’s USA – Table US.JA006: Trade Statistics: Census Basis: Seasonally Adjusted: Imports by End-Use Commodity.

This dataset contains information on:

· Estimated resident population (ERP) at 30 June 1996, 2001, 2006, 2013, and 2018 for total population

· ERP at 30 June 2018 by ethnic groups (European or Other (including New Zealander), Māori, Pacific, Asian, and Middle Eastern/Latin American/African) – estimates and percentage

· Sex ratio – number of males per 100 females

· ERP at 30 June 2018 by broad age groups and median age

· Geographies available are regional council areas, territorial authority and Auckland local board areas, Statistical Area 2, and urban rural.

Note: The geography corresponds to 2020 boundaries

Note: -999 indicates data are not available.

​

About the estimated resident population

The estimated resident population at 30 June in the census year is based on the census usually resident population count, with updates for:

· net census undercount (as measured by a post-enumeration survey)

· residents temporarily overseas on census night

· births, deaths and net migration between census night and 30 June

· reconciliation with demographic estimates at the youngest ages.

The estimated resident population is not directly comparable with the census usually resident population count because of these adjustments.

For more detailed information about the methods used to calculate each base population, see DataInfo+ Demographic estimates.

​

Ethnic groups

It is important to note that these ethnic groups are not mutually exclusive because people can and do identify with more than one ethnicity. People who identify with more than one ethnicity have been included in each ethnic group.

The 'Māori', 'Pacific', 'Asian' and 'Middle Eastern/Latin American/African' ethnic groups are defined in level 1 of the Ethnicity New Zealand Standard Classification 2005. The estimates for the 'European or Other (including New Zealander)' group include people who belong to the 'European' or 'Other ethnicity' groups defined in level 1 of the standard classification. If a person belongs to both the 'European' and 'Other ethnicity' groups they have only been counted once. Almost all people in the 'Other ethnicity' group belong to the 'New Zealander' sub-group.

​

Time series

This time series is irregular. Because the 2011 Census was cancelled after the Canterbury earthquake on 22 February 2011, the gap between the 2006-base and 2013-base estimated resident population is seven years. The change in data between 2006 and 2013 may be greater than in the usual five-year gap between censuses. Be careful when comparing trends.

​

Rounding

Individual figures may not sum to stated totals due to rounding.

​

More information

See Estimated resident population (2018-base): At 30 June 2018 for commentary about the 2018 ERP.

Subnational population estimates concepts – DataInfo+ provides definitions of terms used in the map.

Access more population estimates data in NZ.Stat:

Theme: Population estimates.

Abstract

The 1998 South Africa Demographic and Health Survey (SADHS) is the first study of its kind to be conducted in South Africa and heralds a new era of reliable and relevant information in South Africa. The SADHS, a nation-wide survey has collected information on key maternal and child health indicators, and in a first for international demographic and health surveys, the South African survey contains data on the health and disease patterns in adults.

Plans to conduct the South Africa Demographic and Health Survey go as far back as 1995, when the Department of Health National Health Information Systems of South Africa (NHIS/SA) committee, recognised serious gaps in information required for health service planning and monitoring.

Fieldwork was conducted between late January and September 1998, during which time 12,247 households were visited, 17,500 people throughout nine provinces were interviewed and 175 interviewers were trained to interview in 11 languages.

The aim of the 1998 South Africa Demographic and Health Survey (SADHS) was to collect data as part of the National Health Information System of South Africa (NHIS/SA). The survey results are intended to assist policymakers and programme managers in evaluating and designing programmes and strategies for improving health services in the country. A variety of demographic and health indicators were collected in order to achieve the following general objectives:

(i) To contribute to the information base for health and population development programme management through accurate and timely data on a range of demographic and health indicators. (ii) To provide baseline data for monitoring programmes and future planning. (iii) To build research and research management capacity in large-scale national demographic and health surveys.

The primary objective of the SADHS is to provide up-to-date information on: - basic demographic rates, particularly fertility and childhood mortality levels, - awareness and use of contraceptive methods, - breastfeeding practices, - maternal and child health, - awareness of HIV/AIDS, - chronic health conditions among adults, - lifestyles that affect the health status of adults, and - anthropometric indicators.

Geographic coverage

It was designed principally to produce reliable estimates of demographic rates (particularly fertility and childhood mortality rates), of maternal and child health indicators, and of contraceptive knowledge and use for the country as a whole, the urban and the non-urban areas separately, and for the nine provinces.

Analysis unit

• Household
• Women age 15-49
• Men age 15 and above

Universe

The 1998 South African Demographic and Health Survey (SADHS) covered the population living in private households in the country.

Kind of data

Sample survey data

Sampling procedure

The 1998 South African Demographic and Health Survey (SADHS) covered the population living in private households in the country. The design for the SADHS called for a representative probability sample of approximately 12,000 completed individual interviews with women between the ages of 15 and 49. It was designed principally to produce reliable estimates of demographic rates (particularly fertility and childhood mortality rates), of maternal and child health indicators, and of contraceptive knowledge and use for the country as a whole, the urban and the non-urban areas separately, and for the nine provinces. As far as possible, estimates were to be produced for the four South African population groups. Also, in the Eastern Cape province, estimates of selected indicators were required for each of the five health regions.

In addition to the main survey of households and women 15-49 that followed the DHS model, an adult health module was administered to a sample of adults aged 15 and over in half of the households selected for the main survey. The adult health module collected information on oral health, occupational hazard and chronic diseases of lifestyle.

SAMPLING FRAME

The sampling frame for the SADHS was the list of approximately 86,000 enumeration areas (EAs) created by Central Statistics (now Statistics South Africa, SSA) for the Census conducted in October 1996. The EAs, ranged from about 100 to 250 households, and were stratified by province, urban and non-urban residence and by EA type. The number of households in the EA served as a measure of size of the EA.

CHARACTERISTICS OF THE SADHS SAMPLE

The sample for the SADHS was selected in two stages. Due to confidentiality of the census data, the sampling was carried out by experts at the CSS according to specifications developed by members of the SADHS team. Within each stratum a two stage sample was selected. The primary sampling units (PSUs), corresponded to the EAs and will be selected with probability proportional to size (PPS), the size being the number of households residing in the EA, or where this was not available, the number of census visiting points in the EA. This led to 972 PSUs being selected for the SADHS (690 in urban areas and 282 in non-urban areas. Where provided by SSA, the lists of visiting points together with the households found in these visiting points, or alternatively a map of the EA which showed the households, was used as the frame for second-stage sampling to select the households to be visited by the SADHS interviewing teams during the main survey fieldwork. This sampling was carried out by the MRC behalf of the SADHS working group. If a list of visiting points or a map was not available from SSA, then the survey team took a systematic sample of visiting points in the field. In an urban EA ten visiting points were sampled, while in a non-urban EA twenty visiting points were sampled. The survey team then interviewed the household in the selected visiting point. If there were two households in the selected visiting point, both households were interviewed. If there were three or more households, then the team randomly selected one household for interview. In each selected household, a household questionnaire was administered; all women between the ages of 15 and 49 were identified and interviewed with a woman questionnaire. In half of the selected households (identified by the SADHS working group), all adults over 15 years of age were also identified and interviewed with an adult health questionnaire.

SAMPLE ALLOCATION

Except for Eastern Cape, the provinces were stratified by urban and non-urban areas, for a total of 16 sampling strata. Eastern Cape was stratified by the five health regions and urban and non-urban within each region, for a total of 10 sampling strata. There were thus 26 strata in total.

Originally, it was decided that a sample of 9,000 women 15-49 with complete interviews allocated equally to the nine provinces would be adequate to provide estimates for each province separately; results of other demographic and health surveys have shown that a minimum sample of 1,000 women is required in order to obtain estimates of fertility and childhood mortality rates at an acceptable level of sampling errors. Since one of the objectives of the SADHS was to also provide separate estimates for each of the four population groups, this allocation of 1,000 women per province would not provide enough cases for the Asian population group since they represent only 2.6 percent of the population (according to the results of the 1994 October Household Survey conducted by SSA). The decision was taken to add an additional sample of 1,000 women to the urban areas of KwaZulu-Natal and Gauteng to try to capture as many Asian women as possible as Asians are found mostly in these areas. A more specific sampling scheme to obtain an exact number of Asian women was not possible for two reasons: the population distribution by population group was not yet available from the 1996 census and the sampling frame of EAs cannot be stratified by population group according to SSA as the old system of identifying EAs by population group has been abolished.

An additional sample of 2,000 women was added to Eastern Cape at the request of the Eastern Cape province who funded this additional sample. In Eastern Cape, results by urban and non-urban areas can be given. Results of selected indicators such as contraceptive knowledge and use can also be produced separately for each of the five health regions but not for urban/non-urban within health region.

Result shows the allocation of the target sample of 12,000 women by province and by urban/nonurban residence. Within each province, the sample is allocated proportionately to the urban/non-urban areas.

In the above allocation, the urban areas of KwaZulu-Natal have been oversampled by about 57 percent while those of Gauteng have been oversampled by less than 1 percent. For comparison purposes, it shows a proportional allocation of the 12,000 women to the nine provinces that would result in a completely self-weighting sample but does not allow for reliable estimates for at least four provinces (Northern Cape, Free State, Mpumalanga and North-West).

The number of households to be selected for each stratum was calculated as follows:

• According to the 1994 October Household Survey, the estimated number of women 15-49 per households is 1.2. The overall response rate was assumed to be 80 percent, i.e., of the households selected for the survey only 90 percent would be successfully interviewed, and of the women identified in the households with completed interviews, only 90 percent would have a complete woman questionnaire. Using these two parameters in the above equation, we would expect to select approximately 12,500 households in order to yield the target sample of women.

-

Abstract

The Objectives of the Annual Survey of Industries are:

1. To provide Indicators of the performance and the structure of the industrial sector.
2. To update the list of industrial establishments already available.

Geographic coverage

National Coverage.

Analysis unit

Industrial establishments

The Statistical unit of ASI is an establishment which is defined as an unit engaged in a single or related activities of Mining and Quarrying, Manufacturing and Generation and Distribution of Electricity, Gas and Water in one location under a single ownership or control. However, industrial enterprises which are engaged in production of more than one related activity in one location or one activity in several locations were treated as one unit of enumeration whenever no separate records are available.

Any way in the analysis, the ideal definition of the establishment was followed. The information collected of enterprise level was disaggregated into establishment level using the proportion of output. Ancillary units such as warehouses, garages, etc were treated as part of the main establishment.

Universe

All industries with 5 or more persons engaged.

Sampling procedure

ASI is predominantly a postal survey . But staitistical officers are send to the non-responding establishments to get the questionnaires completed.

All industrial establishments with 5 or more persons as in the Census of Industry 2003 / 2004 was the frame (sample population) of ASI.

The whole frame was divided into two sectors as establishments with 500 or more persons engaged and establishments with "5 to 499" persons engaged. All establishments in the 500 or more sector (Census part) and a probability sample of "5 to 499" sector (Survey part) were canvassed.

This survey part was further stratified according to geographical locations, industrial activity and size. Geographical strata were 25 administrative districts. Industrial activities were defined as the industry group levels, 2 digit level of ISIC. The size classes were defined as "5-9", "10-14", "15-19", "20-24", "25-29", "30-49", "50-99", "100-149", "150-199", "200-299", "300-499", "500-999" and "1000" according to the number of people engaged and size strata was used where the number engaged exceeds 1000

There were 446 establishments in the census part and another 1922 were selected for the sample out of 24091 industries. Higher probabilities were given to select rare industries.The sample was selected systematically within the strata.

(Pl.see the Technical part under the External Resources)

Mode of data collection

Mail Questionnaire [mail]

Research instrument

There were 20 questions in the questionnaire. The first 14 questions were on identification information. Questions 15-18 were on Inputs and Output and question number 19 and 20 were about the Investment and Labour of the establishmnets. The value of goods moved out, receipt from indutrial services done for others and opening and closing stocks of output were collected to compile the gross output. Input were the addition of value of raw materials consumed for the year 2005, (i.e. Cost of raw materails adjusted for stocks ) and the consumption of Electricity, Fuel and Water. Book value at the begining of the year, gross additions during the year, and Depreciation were canvased under the four components of fixed assets namely, Land, Buildings and Other Constructions, Machinery and Other Equipments and Transport Equipment. The information on employment and earnings, was collected under two sub categories National and Non-Nationals. The number of mail and female national persons engaged were collected seperately, but salaries were canvased only for the total number of employees. In addition to the above non-national employees and their salaries also were canvased.

Further information extracted from the report : -

Output Information on output has been collected on shipment basis. The variables canvassed were the value of products moved out from the establishment, value of stocks of finished goods and receipts from industrial services rendered to others.

a. Value of products moved out i. Value of products made by the establishment using its own raw materials. ii. Products made by another establishment using material inputs owned by the establishment, have been considered, as the products made by the establishment and the following three situations have been considered as cases of moving out. i. sending to another establishment or a person ii. sending to another branch of the same enterprise iii.sending abroad

These products were valued at the price at which the producer disposes of his goods to the customer (i.e. producer's price). All duties and taxes which fell on the products when they leave the establishment are included and subsidies recovered are excluded. Price rebates, discounts and allowances on returned goods allowed to the customer have been deducted and any transport charges which may be invoiced to the purchaser or user have been excluded. Products released to other establishments of the same enterprise have been treated as though sold and valued at producer's prices.

b. Stocks of finished goods The values of stocks of finished goods at the beginning and at the end of the year 2006 have been collected. This consists of all finished goods made by the establishment using their own raw materials and manufactured by another establishment using raw materials owned by this establishment and ready for release. Finished goods held by the establishment which were made from materials owned by others have been excluded. Valuation is in producer's prices.

c. Receipts from Industrial Services The total value of receipts from i. Contract and Commission work done for others on materials owned by them, ii. Repairs and installation work done for others, iii. Sales of scraps and refuses, iv. Own account investment work, have been included here.

d. Value of output The value of output was obtained from the value of shipments and other receipts of Industrial Services adjusted for changes in the values of stocks of finished goods during the reference period. Value of Output = (Value of products moved out) + (Closing stocks of finished goods) - (Opening stocks of finished goods) + (Receipts from Industrial Services)

Inputs Information on inputs has been collected covering the costs of a. Raw materials, parts and components and packing materials (Imported and Indigenous) consumed, b. Industrial services done by others for the establishment, c. Fuel, Electricity & Water consumed.

a. Cost of raw materials, parts and components and packing materials i. Cost of raw materials, packing materials purchased All material inputs ( Raw materials, parts, components containers and supplies) purchased by the establishment for the production process either in this establishment or in another establishment have been included. All materials have been valued at purchaser's prices. ie. The delivered value at the establishment, including the purchase price transport charges, cost of insurance, all taxes and duties on the goods. Discounts or rebates allowed to the purchaser and the value of packing materials returned to the supplier have been deducted. The value of materials owned by others and received by the establishment for production process have been excluded and material inputs received by the establishment from other establishments of the same enterprise (not purchased) for processing have been valued as if purchased. ii. Values of stocks of raw materials and packing materials etc. The opening and closing stocks of all input materials (imported and indigenous) including packing materials which are purchased (or treated as purchased) have been included. The valuation was at purchaser's prices. The stocks of raw material used for own account work for producing own fixed assets have been excluded.

b. Cost of industrial services done by others The total cost of i. Contract and commission work done by others on materials supplied by the establishments and ii. Repairs and maintenance services provided by others. are included.

c. Fuel, electricity and water consumed The total of the values of Fuel (LPGas, Coal and Charcoal, Petrol, Diesel Oil, Furnace Oil, Kerosene Oil, Firewood and others) Electricity and Water consumed has been included.

Raw Materials Consumed Raw materials consumed (i.e. actually used) has been computed by adjusting stocks of raw materials to the total value of raw materials (imported and indigenous) and packing materials purchased. Raw materials and packing materials consumed; = (Raw materials and packing materials purchased (Imported + Indigenous)) +(Opening stocks of materials) - (Closing stocks of materials)

Value of Inputs The total value of raw materials consumed, cost of industrial services done by others and Fuel, Electricity and Water consumed have been defined as the value of Inputs.

Value Added Value added has been defined as the difference of the value of output and value of inputs i.e. value of Output - value of Inputs.

Fixed Capital Assets The book value at the beginning of the year, value of gross additions during the year and depreciation of all assets with productive life of one year or more, owned by the establishment (i.e. Land, Buildings, Other Constructions and Land Imporvements, Machinery and Other equipment, Transport equipment) have been collected. Leased or rented assets have not been included.

a. Book value at the beginning of the year This refers to the original cost price of the item less its depreciation, less assets retired and sold upto the beginning of the year.

b. Gross additions to fixed assets during the year This is defined as the total of the costs

United States Imports: 3-Digit: Ferrous Waste and Scrap data was reported at 0.000 USD mn in May 2018. This stayed constant from the previous number of 0.000 USD mn for Apr 2018. United States Imports: 3-Digit: Ferrous Waste and Scrap data is updated monthly, averaging 0.000 USD mn from Jan 1996 (Median) to May 2018, with 269 observations. The data reached an all-time high of 1.129 USD mn in Jun 2010 and a record low of 0.000 USD mn in May 2018. United States Imports: 3-Digit: Ferrous Waste and Scrap data remains active status in CEIC and is reported by US Census Bureau. The data is categorized under Global Database’s USA – Table US.JA097: Trade Statistics: Korea: Imports: Customs: SITC.

United States Imports: CIF: 3-Digit: Ferrous Waste and Scrap data was reported at 221.313 USD mn in May 2018. This records an increase from the previous number of 152.819 USD mn for Apr 2018. United States Imports: CIF: 3-Digit: Ferrous Waste and Scrap data is updated monthly, averaging 78.213 USD mn from Jan 1996 (Median) to May 2018, with 269 observations. The data reached an all-time high of 234.494 USD mn in Apr 2010 and a record low of 14.071 USD mn in Dec 2001. United States Imports: CIF: 3-Digit: Ferrous Waste and Scrap data remains active status in CEIC and is reported by US Census Bureau. The data is categorized under Global Database’s USA – Table US.JA017: Trade Statistics: SITC: Imports: CIF.

United States Imports: 3-Digit: IN: Waste, Parings & Scrap, of Plastics data was reported at 0.113 USD mn in May 2018. This records an increase from the previous number of 0.096 USD mn for Apr 2018. United States Imports: 3-Digit: IN: Waste, Parings & Scrap, of Plastics data is updated monthly, averaging 0.018 USD mn from Jan 1996 (Median) to May 2018, with 269 observations. The data reached an all-time high of 1.009 USD mn in Jun 2006 and a record low of 0.000 USD mn in Jun 2014. United States Imports: 3-Digit: IN: Waste, Parings & Scrap, of Plastics data remains active status in CEIC and is reported by US Census Bureau. The data is categorized under Global Database’s USA – Table US.JA090: Trade Statistics: India: Imports: Customs: SITC.

United States Imports: CIF: 3-Digit: UK: Nonferrous Base Metal Waste & Scrap data was reported at 7.565 USD mn in May 2018. This records a decrease from the previous number of 9.438 USD mn for Apr 2018. United States Imports: CIF: 3-Digit: UK: Nonferrous Base Metal Waste & Scrap data is updated monthly, averaging 3.894 USD mn from Jan 1996 (Median) to May 2018, with 269 observations. The data reached an all-time high of 13.290 USD mn in Jan 2001 and a record low of 0.795 USD mn in Nov 2000. United States Imports: CIF: 3-Digit: UK: Nonferrous Base Metal Waste & Scrap data remains active status in CEIC and is reported by US Census Bureau. The data is categorized under Global Database’s USA – Table US.JA110: Trade Statistics: United Kingdom: Imports: CIF: SITC.

United States Import Volume by Product: Tin, Gross Weight: Waste and Scrap data was reported at 32,700.000 Metric Ton in 2015. This records a decrease from the previous number of 49,700.000 Metric Ton for 2014. United States Import Volume by Product: Tin, Gross Weight: Waste and Scrap data is updated yearly, averaging 41,200.000 Metric Ton from Dec 2014 (Median) to 2015, with 2 observations. The data reached an all-time high of 49,700.000 Metric Ton in 2014 and a record low of 32,700.000 Metric Ton in 2015. United States Import Volume by Product: Tin, Gross Weight: Waste and Scrap data remains active status in CEIC and is reported by US Census Bureau. The data is categorized under Global Database’s USA – Table US.WB005: Import Volume.

United States Exports: 3-Digit: Nonferrous Base Metal Waste & Scrap data was reported at 143.620 USD mn in May 2018. This records a decrease from the previous number of 277.597 USD mn for Apr 2018. United States Exports: 3-Digit: Nonferrous Base Metal Waste & Scrap data is updated monthly, averaging 193.267 USD mn from Jan 1996 (Median) to May 2018, with 269 observations. The data reached an all-time high of 645.975 USD mn in Aug 2011 and a record low of 3.989 USD mn in Nov 1996. United States Exports: 3-Digit: Nonferrous Base Metal Waste & Scrap data remains active status in CEIC and is reported by US Census Bureau. The data is categorized under Global Database’s USA – Table US.JA077: Trade Statistics: China: Exports: FAS: SITC.

United States Imports: 2-Digit: Metalliferous Ores and Metal Scrap data was reported at 1.367 USD mn in May 2018. This records an increase from the previous number of 0.286 USD mn for Apr 2018. United States Imports: 2-Digit: Metalliferous Ores and Metal Scrap data is updated monthly, averaging 1.276 USD mn from Jan 1996 (Median) to May 2018, with 269 observations. The data reached an all-time high of 40.712 USD mn in Dec 2013 and a record low of 0.018 USD mn in Jun 2003. United States Imports: 2-Digit: Metalliferous Ores and Metal Scrap data remains active status in CEIC and is reported by US Census Bureau. The data is categorized under Global Database’s USA – Table US.JA103: Trade Statistics: Malaysia: Imports: Customs: SITC.

United States Imports: CIF: 3-Digit: MX: Nonferrous Base Metal Waste & Scrap data was reported at 50.371 USD mn in May 2018. This records an increase from the previous number of 45.279 USD mn for Apr 2018. United States Imports: CIF: 3-Digit: MX: Nonferrous Base Metal Waste & Scrap data is updated monthly, averaging 22.403 USD mn from Jan 1996 (Median) to May 2018, with 269 observations. The data reached an all-time high of 50.371 USD mn in May 2018 and a record low of 6.204 USD mn in Dec 2001. United States Imports: CIF: 3-Digit: MX: Nonferrous Base Metal Waste & Scrap data remains active status in CEIC and is reported by US Census Bureau. The data is categorized under Global Database’s USA – Table US.JA101: Trade Statistics: Mexico: Imports: CIF: SITC.

United States Exports: 3-Digit: MX: Ferrous Waste and Scrap data was reported at 71.039 USD mn in May 2018. This records an increase from the previous number of 70.157 USD mn for Apr 2018. United States Exports: 3-Digit: MX: Ferrous Waste and Scrap data is updated monthly, averaging 16.765 USD mn from Jan 1996 (Median) to May 2018, with 269 observations. The data reached an all-time high of 71.039 USD mn in May 2018 and a record low of 2.259 USD mn in Nov 2002. United States Exports: 3-Digit: MX: Ferrous Waste and Scrap data remains active status in CEIC and is reported by US Census Bureau. The data is categorized under Global Database’s USA – Table US.JA099: Trade Statistics: Mexico: Exports: FAS: SITC.